My current research is on the mathematical models of Thermofluids systems and active learning strategies.
I am currently a member of the International Scientific Committee of ICTEA.
My past research and engineering works are summarized below.
Outline:
My multidisciplinary research was the mathematical optimization of renewable energy systems. My research on mathematical modelling and optimization was at creating, developing, and maintaining my mathematical models and software. Moreover, I performed detailed engineering analysis as a Mechanical Design Engineer.
Past Projects:
- Data Analysis and Algorithm Development to Optimize Energy Storage Installation Size, Seneca Polytechnic;
- Airspace Optimization in the North Atlantic for Emissions, Fuel and Time savings, Seneca Polytechnic.
Past Research Assistants:
Gabriella Ko,
Sergio Armando Hernandez Perez,
Smitkumar Navinbhai Kotadia,
Zufishan Ali.
Industry Partners:
flitePLAN International (fliteX);
TROES Corp. (VentureLAB).
Funding:
NSERC Engage, sole Principal Investigator, Seneca Innovation, CAD 25000, 2021 and CAD 4874 from the industry partner;
NSERC Engage, sole Principal Investigator, Seneca Innovation, CAD 25000, 2020 and CAD 2500 from the industry partner.
Total funding as PI: CAD 57,374.
Early Career Research
In past, I worked on two projects as a postdoctoral fellow at Toronto Metropolitan university such as numerical studies on fat (LDL - low-density lipoprotein) accumulation in human artery with atherosclerotic heart disease, and numerical modeling of blood flow in coronary sinus based on a realistic geometric model that is in collaboration with St. Michael hospital, Toronto, ON, Canada. For the first project, a new mathematical model based on the Brinkman-Forchheimr equation on the transport of low-density lipoprotein (LDL) in artery walls has been developed that includes the multi-layered model.
The current literature survey shows that there is a lack of realistic modeling of blood flow inside the Coronary Sinus (CS) vein. So, as my second postdoc project, a realistic geometrical model is developed and is used for Computational Fluid Dynamics (CFD) modeling of the steady-state blood flow inside the CS.
Also, during my Ph.D. study at Toronto Metropolitan University as a researcher of the project for CSA (Canadian Space Agency) and ESA (European Space Agency) titled as Selectable Optical Diagnostics Instrument - Diffusion and Soret Coefficients Measurement for Improvement of Oil Recovery (SODI-DSC), experimental laboratory work experience includes design and demonstration of a new laser-based Mach-Zehnder interferometer (MZI) & imaging system, experimental measurement of physical properties i.e. diffusion coefficients of liquids using MZI, upgrading image processing methodology using Matlab, design & calibration for controlling temperature using PID controller & Pelties.
Notable achievements during my Ph.D.: directed a completely new optical setup that was the first experimental activity in microgravity lab at Toronto Metropolitan University, and transferred experiment skills to other graduate students by supervising three Ph.D. students.
As a collaborative Ph.D. student at Universite Libre de Bruxelles (ULB), in the partnership between CSA and ESA (European Space Agency): I acquired solid hands-on scientific knowledge of optical systems, examined temperature & concentration coefficients of refractive indices using a laser interferometer, investigated technical & hands-on procedures, and setting up experiments & technical reports.
As an M.A.Sc. student at Toronto Metropolitan University, I performed numerical modeling on a liquid-porous sandwiched model for a mimic of a small oil reservoir that includes: assessing the effect of thermal diffusion in oil reservoirs, investigating the influence of size & shape of the reservoir on diffusion phenomena, founding the role of surface tension on convection phenomena.